Content with notebooks¶

You can also create content with Jupyter Notebooks. This means that you can include code blocks and their outputs in your book.

Markdown + notebooks¶

As it is markdown, you can embed images, HTML, etc into your posts!

You can also $add_{math}$ and

\[ math^{blocks} \]

or

\[\begin{split} \begin{aligned} \mbox{mean} la_{tex} \\ \\ math blocks \end{aligned} \end{split}\]

But make sure you $Escape $your $dollar signs $you want to keep!

MyST markdown¶

MyST markdown works in Jupyter Notebooks as well. For more information about MyST markdown, check out the MyST guide in Jupyter Book, or see the MyST markdown documentation.

Code blocks and outputs¶

Jupyter Book will also embed your code blocks and output in your book. For example, here’s some sample Matplotlib code:

from matplotlib import rcParams, cycler
import matplotlib.pyplot as plt
import numpy as np
plt.ion()

<matplotlib.pyplot._IonContext at 0x2d136db9ff0>

# Fixing random state for reproducibility
np.random.seed(19680801)

N = 10
data = [np.logspace(0, 1, 100) + np.random.randn(100) + ii for ii in range(N)]
data = np.array(data).T
cmap = plt.cm.coolwarm
rcParams['axes.prop_cycle'] = cycler(color=cmap(np.linspace(0, 1, N)))


from matplotlib.lines import Line2D
custom_lines = [Line2D([0], [0], color=cmap(0.), lw=4),
                Line2D([0], [0], color=cmap(.5), lw=4),
                Line2D([0], [0], color=cmap(1.), lw=4)]

fig, ax = plt.subplots(figsize=(10, 5))
lines = ax.plot(data)
ax.legend(custom_lines, ['Cold', 'Medium', 'Hot']);

import ipywidgets as widgets
widgets.IntSlider(
    value=7,
    min=0,
    max=10,
    step=1,
    description='Test:',
    disabled=False,
    continuous_update=False,
    orientation='horizontal',
    readout=True,
    readout_format='d'
)

# Install a pip package in the current Jupyter kernel
import sys
!{sys.executable} -m pip install numpy

Requirement already satisfied: numpy in c:\users\rimsha\turingenv\lib\site-packages (1.22.1)

WARNING: You are using pip version 21.2.4; however, version 21.3.1 is available.
You should consider upgrading via the 'C:\Users\rimsha\turingenv\Scripts\python.exe -m pip install --upgrade pip' command.

There is a lot more that you can do with outputs (such as including interactive outputs) with your book. For more information about this, see the Jupyter Book documentation

import numpy as np

from matplotlib import rcParams, cycler
import matplotlib.pyplot as plt

!{sys.executable} -m pip install plotly

Requirement already satisfied: plotly in c:\users\rimsha\turingenv\lib\site-packages (5.5.0)
Requirement already satisfied: tenacity>=6.2.0 in c:\users\rimsha\turingenv\lib\site-packages (from plotly) (8.0.1)
Requirement already satisfied: six in c:\users\rimsha\turingenv\lib\site-packages (from plotly) (1.16.0)

WARNING: You are using pip version 21.2.4; however, version 21.3.1 is available.
You should consider upgrading via the 'C:\Users\rimsha\turingenv\Scripts\python.exe -m pip install --upgrade pip' command.

from matplotlib import rcParams, cycler
import matplotlib.pyplot as plt
import numpy as np
plt.ion()

<matplotlib.pyplot._IonContext at 0x2d1490d9bd0>

import ipywidgets as widgets
widgets.ColorPicker(
    concise=False,
    description='Pick a color',
    value='blue',
    disabled=False
)

import ipywidgets as widgets
widgets.DatePicker(
    description='Pick a Date',
    disabled=False
)

import plotly.express as px
df = px.data.iris()
fig = px.scatter(df, x="sepal_width", y="sepal_length", color="species")
fig.show()

from IPython.display import Image
Image("peacock.jpg")

from IPython.display import YouTubeVideo

SalidaVideo = widgets.Output()

with SalidaVideo:
    display(YouTubeVideo('DsROfrRB-1k', width=500, height=500))
    
Salidas = widgets.HBox([SalidaVideo])
display(Salidas)

import ipywidgets as widgets
widgets.Combobox(
    # value='John',
    placeholder='Choose Someone',
    options=['Peter', 'Rimy', 'Pinky', 'Ringo'],
    description='Combobox:',
    ensure_option=True,
    disabled=False
)

import plotly.express as px
df = px.data.tips()
fig = px.parallel_categories(df, color="size", color_continuous_scale=px.colors.sequential.Inferno)
fig

import ipywidgets as widgets
container2 = widgets.HBox([origin, textbox])
widgets.VBox([container,
              container2,
              g])

---------------------------------------------------------------------------
NameError                                 Traceback (most recent call last)
Input In [16], in <module>
      1 import ipywidgets as widgets
----> 2 container2 = widgets.HBox([origin, textbox])
      3 widgets.VBox([container,
      4               container2,
      5               g])

NameError: name 'origin' is not defined

%%html
<img src = 'https://cloud.githubusercontent.com/assets/12302455/16637308/4e476280-43ac-11e6-9fd3-ada2c9506ee1.gif' >

df = pd.read_csv(
    'https://raw.githubusercontent.com/yankev/testing/master/datasets/nycflights.csv')
df = df.drop(df.columns[[0]], axis=1

  Input In [4]
    df = df.drop(df.columns[[0]], axis=1
                ^
SyntaxError: '(' was never closed

import dash
import dash_core_components as dcc
import dash_html_components as html
from dash.dependencies import Input, Output
import plotly.express as px

df = px.data.iris()
all_dims = ['sepal_length', 'sepal_width', 
            'petal_length', 'petal_width']

app = dash.Dash(__name__)

app.layout = html.Div([
    dcc.Dropdown(
        id="dropdown",
        options=[{"label": x, "value": x} 
                 for x in all_dims],
        value=all_dims[:2],
        multi=True
    ),
    dcc.Graph(id="splom"),
])

@app.callback(
    Output("splom", "figure"), 
    [Input("dropdown", "value")])
def update_bar_chart(dims):
    fig = px.scatter_matrix(
        df, dimensions=dims, color="species")
    return fig

app.run_server(debug=True)

---------------------------------------------------------------------------
ModuleNotFoundError                       Traceback (most recent call last)
Input In [5], in <module>
----> 1 import dash
      2 import dash_core_components as dcc
      3 import dash_html_components as html

ModuleNotFoundError: No module named 'dash'

import datetime
import numpy as np
import pandas as pd

import plotly.graph_objects as go
from ipywidgets import widgets

# Install a pip package in the current Jupyter kernel
import sys
!{sys.executable} -m pip install pandas

Collecting pandas
  Using cached pandas-1.4.0-cp310-cp310-win_amd64.whl (10.6 MB)
Requirement already satisfied: python-dateutil>=2.8.1 in c:\users\rimsha\appdata\local\programs\python\python310\lib\site-packages (from pandas) (2.8.2)
Requirement already satisfied: pytz>=2020.1 in c:\users\rimsha\appdata\local\programs\python\python310\lib\site-packages (from pandas) (2021.3)
Requirement already satisfied: numpy>=1.21.0 in c:\users\rimsha\appdata\local\programs\python\python310\lib\site-packages (from pandas) (1.22.1)
Requirement already satisfied: six>=1.5 in c:\users\rimsha\appdata\local\programs\python\python310\lib\site-packages (from python-dateutil>=2.8.1->pandas) (1.16.0)
Installing collected packages: pandas
Successfully installed pandas-1.4.0

WARNING: You are using pip version 21.2.4; however, version 21.3.1 is available.
You should consider upgrading via the 'C:\Users\rimsha\AppData\Local\Programs\Python\Python310\python.exe -m pip install --upgrade pip' command.

df = pd.read_csv(
    'https://raw.githubusercontent.com/yankev/testing/master/datasets/nycflights.csv')
df = df.drop(df.columns[[0]], axis=1)

---------------------------------------------------------------------------
NameError                                 Traceback (most recent call last)
Input In [13], in <module>
----> 1 df = pd.read_csv(
      2     'https://raw.githubusercontent.com/yankev/testing/master/datasets/nycflights.csv')
      3 df = df.drop(df.columns[[0]], axis=1)

NameError: name 'pd' is not defined

df.sample(3)

---------------------------------------------------------------------------
NameError                                 Traceback (most recent call last)
Input In [14], in <module>
----> 1 df.sample(3)

NameError: name 'df' is not defined

df = pd.read_csv(
    'https://raw.githubusercontent.com/yankev/testing/master/datasets/nycflights.csv')
df = df.drop(df.columns[[0]], axis=1)
df.sample(3)

	year	month	day	dep_time	dep_delay	arr_time	arr_delay	carrier	tailnum	flight	origin	dest	air_time	distance	hour	minute
265957	2013	7	17	1507.0	2.0	1822.0	-13.0	AA	N365AA	1769	JFK	MIA	149.0	1089	15.0	7.0
214839	2013	5	23	NaN	NaN	NaN	NaN	US	NaN	2134	LGA	BOS	NaN	184	NaN	NaN
27409	2013	10	1	1221.0	-9.0	1350.0	-15.0	AA	N489AA	329	LGA	ORD	117.0	733	12.0	21.0

import plotly.express as px
df = px.data.iris()
fig = px.scatter(df, x="sepal_width", y="sepal_length", color="species")
fig.show()

import plotly.express as px
df = px.data.iris()
fig = px.scatter(df, x="sepal_width", y="sepal_length", color="species", marginal_y="violin",
           marginal_x="box", trendline="ols", template="simple_white")
fig.show()

---------------------------------------------------------------------------
ModuleNotFoundError                       Traceback (most recent call last)
Input In [22], in <module>
import plotly.express as px
df = px.data.iris()
----> 3 fig = px.scatter(df, x="sepal_width", y="sepal_length", color="species", marginal_y="violin",
          marginal_x="box", trendline="ols", template="simple_white")
fig.show()

File ~\AppData\Local\Programs\Python\Python310\lib\site-packages\plotly\express\_chart_types.py:66, in scatter(data_frame, x, y, color, symbol, size, hover_name, hover_data, custom_data, text, facet_row, facet_col, facet_col_wrap, facet_row_spacing, facet_col_spacing, error_x, error_x_minus, error_y, error_y_minus, animation_frame, animation_group, category_orders, labels, orientation, color_discrete_sequence, color_discrete_map, color_continuous_scale, range_color, color_continuous_midpoint, symbol_sequence, symbol_map, opacity, size_max, marginal_x, marginal_y, trendline, trendline_options, trendline_color_override, trendline_scope, log_x, log_y, range_x, range_y, render_mode, title, template, width, height)
def scatter(
   data_frame=None,
   x=None,
   (...)
   height=None,
):
   """
   In a scatter plot, each row of `data_frame` is represented by a symbol
   mark in 2D space.
   """
---> 66     return make_figure(args=locals(), constructor=go.Scatter)

File ~\AppData\Local\Programs\Python\Python310\lib\site-packages\plotly\express\_core.py:2123, in make_figure(args, constructor, trace_patch, layout_patch)
   elif args["ecdfnorm"] == "percent":
       group[var] = 100.0 * group[var] / group_sum
-> 2123 patch, fit_results = make_trace_kwargs(
   args, trace_spec, group, mapping_labels.copy(), sizeref
)
trace.update(patch)
if fit_results is not None:

File ~\AppData\Local\Programs\Python\Python310\lib\site-packages\plotly\express\_core.py:358, in make_trace_kwargs(args, trace_spec, trace_data, mapping_labels, sizeref)
trace_patch["x"] = sorted_trace_data[args["x"]][non_missing]
trendline_function = trendline_functions[attr_value]
--> 358 y_out, hover_header, fit_results = trendline_function(
   args["trendline_options"],
   sorted_trace_data[args["x"]],
   x,
   y,
   args["x"],
   args["y"],
   non_missing,
)
assert len(y_out) == len(
   trace_patch["x"]
), "missing-data-handling failure in trendline code"
trace_patch["y"] = y_out

File ~\AppData\Local\Programs\Python\Python310\lib\site-packages\plotly\express\trendline_functions\__init__.py:43, in ols(trendline_options, x_raw, x, y, x_label, y_label, non_missing)
   if k not in valid_options:
       raise ValueError(
           "OLS trendline_options keys must be one of [%s] but got '%s'"
           % (", ".join(valid_options), k)
       )
---> 43 import statsmodels.api as sm
add_constant = trendline_options.get("add_constant", True)
log_x = trendline_options.get("log_x", False)

ModuleNotFoundError: No module named 'statsmodels'

import plotly.express as px
df = px.data.tips()
fig = px.bar(df, x="sex", y="total_bill", color="smoker", barmode="group")
fig.show()

My rimshaa book

Content with notebooks

Contents

Content with notebooks¶

Markdown + notebooks¶

MyST markdown¶

Code blocks and outputs¶